Native Ollama LLM Integration + Example Project + Full Unit Tests

contributing/samples/hello_world_ollama_native/README.md

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+# Using Ollama Models with ADK (Native Integration)
+
+## Model Choice
+
+If your agent uses tools, choose an Ollama model that supports **function calling**.  
+Tool support can be verified with:
+
+```bash
+ollama show mistral-small3.1
+```
+Model
+  architecture        mistral3
+  parameters          24.0B
+  context length      131072
+  embedding length    5120
+  quantization        Q4_K_M
+
+Capabilities
+  completion
+  vision
+  tools
+
+Models must list tools under Capabilities.
+Models without tool support will not execute ADK functions correctly.
+
+To inspect or customize a model template:
+```bash
+ollama show --modelfile llama3.1 > model_file_to_modify
+```
+Then create a modified model:
+
+ollama create llama3.1-modified -f model_file_to_modify
+
+
+## Native Ollama Provider in ADK
+
+ADK includes a native Ollama model class that communicates directly with the Ollama server at:
+
+http://localhost:11434/api/chat
+
+No LiteLLM provider, API keys, or OpenAI proxy endpoints are needed.
+
+### Example agent
+```python
+import random
+from google.adk.agents.llm_agent import Agent
+from google.adk.models.ollama import Ollama
+
+def roll_die(sides: int) -> int:
+    return random.randint(1, sides)
+
+def check_prime(numbers: list[int]) -> str:
+    primes = []
+    for number in numbers:
+        number = int(number)
+        if number <= 1:
+            continue
+        for i in range(2, int(number ** 0.5) + 1):
+            if number % i == 0:
+                break
+        else:
+            primes.append(number)
+    return "No prime numbers found." if not primes else f"{', '.join(map(str, primes))} are prime numbers."
+
+root_agent = Agent(
+    model=Ollama(model="llama3.1"),
+    name="dice_agent",
+    description="Agent that rolls dice and checks primes using native Ollama.",
+    instruction="Always use the provided tools.",
+    tools=[roll_die, check_prime],
+)
+```
+## Connecting to a remote Ollama server
+
+Default Ollama endpoint:
+
+http://localhost:11434
+
+Override using an environment variable:
+```bash
+export OLLAMA_API_BASE="http://192.168.1.20:11434"
+```
+Or pass explicitly in code:
+```python
+Ollama(model="llama3.1", host="http://192.168.1.20:11434")
+```
+
+
+## Running the Example with ADK Web
+
+Start the ADK Web UI:
+
+adk web hello_ollama_native
+
+The interface will be available in your browser, allowing interactive testing of tool calls.
+
+
+
+

contributing/samples/hello_world_ollama_native/__init__.py

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+# Copyright 2025 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from . import agent

contributing/samples/hello_world_ollama_native/agent.py

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+# Copyright 2025 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import random
+
+from google.adk.agents.llm_agent import Agent
+from google.adk.models.ollama_llm import Ollama
+
+
+def roll_die(sides: int) -> int:
+  """Roll a die and return the rolled result.
+
+  Args:
+    sides: The integer number of sides the die has.
+
+  Returns:
+    An integer of the result of rolling the die.
+  """
+  return random.randint(1, sides)
+
+
+def check_prime(numbers: list[int]) -> str:
+  """Check if a given list of numbers are prime.
+
+  Args:
+    numbers: The list of numbers to check.
+
+  Returns:
+    A str indicating which number is prime.
+  """
+  primes = set()
+  for number in numbers:
+    number = int(number)
+    if number <= 1:
+      continue
+    is_prime = True
+    for i in range(2, int(number**0.5) + 1):
+      if number % i == 0:
+        is_prime = False
+        break
+    if is_prime:
+      primes.add(number)
+  return (
+      "No prime numbers found."
+      if not primes
+      else f"{', '.join(str(num) for num in primes)} are prime numbers."
+  )
+
+
+root_agent = Agent(
+    model=Ollama(model="llama3.1"),
+    name="dice_roll_agent",
+    description=(
+        "hello world agent that can roll a dice of any number of sides and"
+        " check prime numbers."
+    ),
+    instruction="""
+      You roll dice and answer questions about the outcome of the dice rolls.
+      You can roll dice of different sizes.
+      You can use multiple tools in parallel by calling functions in parallel(in one request and in one round).
+      It is ok to discuss previous dice roles, and comment on the dice rolls.
+      When you are asked to roll a die, you must call the roll_die tool with the number of sides. Be sure to pass in an integer. Do not pass in a string.
+      You should never roll a die on your own.
+      When checking prime numbers, call the check_prime tool with a list of integers. Be sure to pass in a list of integers. You should never pass in a string.
+      You should not check prime numbers before calling the tool.
+      When you are asked to roll a die and check prime numbers, you should always make the following two function calls:
+      1. You should first call the roll_die tool to get a roll. Wait for the function response before calling the check_prime tool.
+      2. After you get the function response from roll_die tool, you should call the check_prime tool with the roll_die result.
+        2.1 If user asks you to check primes based on previous rolls, make sure you include the previous rolls in the list.
+      3. When you respond, you must include the roll_die result from step 1.
+      You should always perform the previous 3 steps when asking for a roll and checking prime numbers.
+      You should not rely on the previous history on prime results.
+    """,
+    tools=[
+        roll_die,
+        check_prime,
+    ],
+)

contributing/samples/hello_world_ollama_native/main.py

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+# Copyright 2025 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import asyncio
+import time
+import warnings
+
+import agent
+from dotenv import load_dotenv
+from google.adk import Runner
+from google.adk.artifacts.in_memory_artifact_service import InMemoryArtifactService
+from google.adk.cli.utils import logs
+from google.adk.sessions.in_memory_session_service import InMemorySessionService
+from google.adk.sessions.session import Session
+from google.genai import types
+
+load_dotenv(override=True)
+warnings.filterwarnings('ignore', category=UserWarning)
+logs.log_to_tmp_folder()
+
+
+async def main():
+  app_name = 'my_app'
+  user_id_1 = 'user1'
+  session_service = InMemorySessionService()
+  artifact_service = InMemoryArtifactService()
+  runner = Runner(
+      app_name=app_name,
+      agent=agent.root_agent,
+      artifact_service=artifact_service,
+      session_service=session_service,
+  )
+  session_11 = await session_service.create_session(
+      app_name=app_name, user_id=user_id_1
+  )
+
+  async def run_prompt(session: Session, new_message: str):
+    content = types.Content(
+        role='user', parts=[types.Part.from_text(text=new_message)]
+    )
+    print('** User says:', content.model_dump(exclude_none=True))
+    async for event in runner.run_async(
+        user_id=user_id_1,
+        session_id=session.id,
+        new_message=content,
+    ):
+      if event.content.parts and event.content.parts[0].text:
+        print(f'** {event.author}: {event.content.parts[0].text}')
+
+  start_time = time.time()
+  print('Start time:', start_time)
+  print('------------------------------------')
+  await run_prompt(session_11, 'Hi, introduce yourself.')
+  await run_prompt(
+      session_11, 'Roll a die with 100 sides and check if it is prime'
+  )
+  await run_prompt(session_11, 'Roll it again.')
+  await run_prompt(session_11, 'What numbers did I get?')
+  end_time = time.time()
+  print('------------------------------------')
+  print('End time:', end_time)
+  print('Total time:', end_time - start_time)
+
+
+if __name__ == '__main__':
+  asyncio.run(main())